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llm-twin-course

Author description: 🤖 Learn for free how to build an end-to-end production-ready LLM & RAG system using LLMOps best practices: ~ source code + 12 hands-on lessons

Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Popularity
Repository stars4,40679,750Highest
7-day net stars——
Fork7318,761Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-04-202026-03-11
Maintenance notesNot verifiedNot verified
Repository created2024-03-082022-12-16
License & use
LicenseMIT · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation
TypeGuides & collectionsGuides & collections
SubcategoryGetting startedGetting started
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonMDX
About this projectAuthor description: 🤖 Learn for free how to build an end-to-end production-ready LLM & RAG system using LLMOps best practices: ~ source code + 12 hands-on lessons🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Measured at2026-11-03 09:37 UTC2026-11-02 18:58 UTC

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